Data Scientist
Savannah, GA, US, 31415
Kraton Corporation
Kraton Corporation is a leading global producer of SBCs, specialty polymers, and high-value performance products derived from pine wood pulping co-products.Make a +Difference at Kraton!
At Kraton, we make a Positive Difference, and we are looking for individuals who are also looking to make a difference in their jobs, for our customers and to the world. We are looking to hire a key member of our Research & Development team at our Savannah location.
The purpose of the Data Scientist role is to embed data-driven approaches into the core of our R&D processes, build a data-centric culture, provide recommendation on the process to adopt on linking R&D generated data to the rest of the business. The Data Scientist is expected to perform all duties in a safe manner and to maintain a safe and secure operating environment.
Key Responsibilities
Data Collection and Management:
- Design and implement robust data collection frameworks within the existing capabilities, ensuring data is accurate, consistent, and relevant.
- Collaborate with R&D team to adapt R&D processes and data workflow, ensuring data is accessible, secure, and compliant with regulations.
Data Analysis and Insights Generation:
- Perform advanced statistical analysis, predictive modeling, and machine learning to uncover trends, patterns, and insights from R&D data.
- Develop custom algorithms and models to support product development, process optimization, and innovation initiatives.
Tool and Technology Integration:
- Evaluate and implement data analytics tools and technologies to enhance the R&D digitalization process.
- Work with IT and engineering teams to integrate these tools with existing systems and workflows.
Visualization and Communication of Findings:
- Create clear and compelling data visualizations to communicate complex analytical results to non-technical stakeholders.
- Present findings and recommendations to R&D leadership and cross-functional teams, driving informed decision-making.
Collaboration and Cross-Functional Support:
- Partner with researchers, marketing and product development teams to provide data-driven support throughout the R&D lifecycle.
- Contribute to cross-functional projects, offering expertise in data science and analytics.
Innovation and Continuous Improvement:
- Stay up-to-date with the latest advancements in data science, AI, and machine learning, incorporating new techniques and methodologies into R&D processes.
- Continuously improve data analytics practices, seeking ways to optimize and streamline data-driven decision-making.
Mentorship and Training:
- Provide guidance and training to R&D team members on data science principles, tools, and best practices.
- Foster a data-centric culture within the department, encouraging the adoption of data-driven approaches.
Project Management:
- Lead data science projects from conception through execution, managing timelines, resources, and deliverables.
- Compliance and Ethical Considerations:
- Ensure all data science practices adhere to ethical guidelines, privacy regulations, and company policies.
- Work in collaboration with IT to address and mitigate risks associated with data security and the use of AI in R&D processes.
Required Skills
- Safety minded
- Statistical Analysis
- Data Management and Processing; Visualization Tools
- Experimental Design
- Ability to communicate openly with team on experiment and procedure walk-throughs
- Problem Solving, Critical Thinking
- Collaboration, teamwork and communication skills in diverse teams
Desired
• Project Management
• Mentorship
Education, Certifications & Licenses
- Master Diploma in Data Science, + 2-3 years relevant experience OR
- PhD in Data Science
- Basic chemistry/ material science understanding is desired
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The statements above are intended to describe the general nature and level of work performed by employees assigned to this classification. Statements are not intended to be construed as an exhaustive list of all duties, responsibilities and skills required for this position.
Kraton’s internal talent acquisition team manages our recruiting efforts and from time to time works with pre-selected/pre-approved external staffing agencies. We do NOT accept unsolicited resumes or candidate referrals from recruiters and/or agencies who are not pre-selected/pre-approved.
Kraton is proud to be an Equal Opportunity Employer.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Chemistry Classification Data analysis Data Analytics Data management Engineering Machine Learning PhD Predictive modeling Privacy R R&D Research Security Statistics
Perks/benefits: Career development
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